Results 161 to 170 of about 18,422 (208)

Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs

Journal of the American Statistical Association, 1997
Abstract Factorial designs are studied with independent observations, fixed number of levels, and possibly unequal number of observations per factor level combination. In this context, the nonparametric null hypotheses introduced by Akritas and Arnold are considered.
Michael G Akritas, Steven F Arnold, Edgar Brunner   +2 more
exaly   +4 more sources

Box-Type Approximations in Nonparametric Factorial Designs

Journal of the American Statistical Association, 1997
Linear rank statistics in nonparametric factorial designs are asymptotically normal and, in general, heteroscedastic. In a comprehensive simulation study, the asymptotic chi-squared law of the corresponding quadratic forms is shown to be a rather poor ...
Edgar Brunner, Axel Munk
exaly   +4 more sources

Algebraic statistics of level codings for fractional factorial designs

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. PISTONE, ROGANTIN, MARIA PIERA
openaire   +4 more sources

A STATISTICAL ANALYSIS OF FRACTIONAL FACTORIAL DESIGN USING A FUZZY PROBABILISTIC APPROACH

2023
In factorial experiments, treatment combinations increase as the number of factors increases. While handling a large number of factors, many difficulties are encountered. Moreover, mechanical errors like mistaken identification of plots, wrong labeling of treatments, etc., may creep in.
Sri Devi, P., Pachamuthu, M.
openaire   +1 more source

Parametric statistics and levels of measurement: Factorial designs and multiple regression.

Psychological Bulletin, 1990
Let Y be a continuous, ordinal measure of a latent variable θ. In general, for factorial designs, an analysis of variance of the observed variable Y cannot be used to draw inferences about main effects and interactions on the latent variable θ even when the standard normality and equality of variance assumptions hold.
Mark L. Davison, Anu R. Sharma
openaire   +1 more source

Some experiences teaching factorial design in introductory statistics courses

Journal of Applied Statistics, 1987
A major challenge in teaching statistics is to convey how statistics is used in solving real problems. Introductory courses often fail to provide students with a sense of how to apply statistical ideas. This paper will describe our experiences with a teaching approach in which students generate and analyse their own data by conducting a factorial ...
Ron S. Kenett, David M. Steinberg
openaire   +1 more source

Rank statistics under dependent observations and applications to factorial designs

Journal of Statistical Planning and Inference, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brunner, Edgar, Denker, Manfred
openaire   +1 more source

Statistical approaches in toxicology: The use of factorial designs and multivariate methods

Medical Informatics, 1985
(1985). Statistical approaches in toxicology: The use of factorial designs and multivariate methods. Medical Informatics: Vol. 10, No. 2, pp. 143-151.
openaire   +2 more sources

Statistical Analysis of Factorial Diallel Design over Environments

Biometrical Journal, 1987
AbstractStarting from the experimental situation that in each of a environments all mp combinations between m maternal and p paternal genotypes are raised in b replications (blocks), a linear model is formulated for a quantitative character. On the basis of this model formulae for the analysis of variance are given.
openaire   +1 more source

Preparation and optimization of PIT solid lipid nanoparticles via statistical factorial design

European Journal of Medicinal Chemistry, 2012
The objective of this study was the preparation, physico-chemical characterization and statistical optimization of cationic solid lipid nanoparticles (SLN) prepared by the PIT method as potential carrier for gene therapy, emphasizing the application of factorial design in such a kind of studies.
CARBONE, CLAUDIA, TOMASELLO, BARBARA, Ruozi B, RENIS, Marcella, PUGLISI, Giovanni   +4 more
openaire   +3 more sources